Now that we’ve mapped the client’s working culture, the final step is to present our findings back to them for confirmation. This ensures:
✅ Clear alignment – The client agrees with the culture summary before sourcing begins.
✅ Stronger credibility – We show that we truly understand how they work.
✅ Fewer mismatches – If there’s a misunderstanding, we clarify it early, preventing poor candidate fit later.
Use the Client Summary Matrix to structure your findings and confirm their working style.
📌 After the briefing call, fill out this table and send it to the client for review.
| Category | Client’s Response | Interpreted Culture |
|---|---|---|
| Decision-Making Process | [Client’s answer] | [Mapped culture] |
| Engineering Autonomy | [Client’s answer] | [Mapped culture] |
| Speed vs. Quality | [Client’s answer] | [Mapped culture] |
| Hiring Criteria | [Client’s answer] | [Mapped culture] |
| Collaboration Style | [Client’s answer] | [Mapped culture] |
| Performance Measurement | [Client’s answer] | [Mapped culture] |
| Career Growth Structure | [Client’s answer] | [Mapped culture] |
This is an example of a template to send the summary back to the client and confirm alignment before sourcing candidates.
Hi [Client's Name],
Great speaking with you earlier! As part of our process, we’ve mapped out what we discussed regarding the ideal candidate profile and your working culture to ensure alignment before we start sourcing.
Below is a summary of our understanding:
✅ Decision-Making: [Founder-driven with rapid decision-making and shifting priorities based on customer feedback and investor input. (or) Engineering-led, where technical teams drive product decisions with minimal top-down influence.]
✅ Engineering Autonomy: [Engineers have full ownership of technical decisions, choosing the best solutions with minimal oversight. (or) Engineers work closely with product teams and implement well-defined specifications rather than making independent technical choices.]
✅ Speed vs. Quality: [Bias toward speed—shipping MVPs quickly and iterating based on user data. (or) Quality-first—teams take time to build scalable, well-architected solutions with an emphasis on technical excellence.]